There are remarkably challenging issues attributed to the construction industry as far as workplace safety is concerned, since it is a complex, dynamic and risky field. Over the past few years, Artificial Intelligence (AI) and digital technologies have become the probable way to handle these safety issues of the past and facilitate proactive hazard detection, real-time monitoring, and predictive risk management. The review examines the existing reality, potential, and constraints of digital technologies and AI in modifying the construction environment into a more harmonious environment of safety. A well-organized overview of the recent publications shows that there is an increasing use of technologies, including machine learning, computer vision, robotics, knowledge based systems, the Internet of Things (IoT), Building Information Modelling (BIM), wearable sensors, and drones in hazards detection, safety behaviour, and incident prevention. Nevertheless, the broad swelling of such technologies is minimal since the technological division or split, lack of interoperability, organizational resistance, skills gap of the workforce, and empirical grounding are among the factors affecting the adoption of such technologies. Moreover, combinations of digital tools in integrated approaches to managing safety are not well explored, and long-term reviews of these interventions are not available. The review identifies the missing research as well as offers directions that new research ought to take to come up with new types of digital safety solutions that are scalable, interconnected, and human-friendly. Through their ability to deal with these issues, AI and digital technologies have a significant potential to promote proactive, safe management based on data and minimize the level of incidents in the construction context.
Samadder et al. (Tue,) studied this question.
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